关键词: 虹膜识别, 小波变换, 特征提取, Hamming距离

Abstract: A new iris recognition method searching for the appropriate wavelet scale is proposed using the bandpass characteristic of wavelets and wavelet transform principles for detecting singularities.The iris image texture is divided into eight bands，and 32 scale continuous wavelet transformation coefficients are quantized to iris codes for each analysis band.Then the Hamming distance is adopted to match two iris codes.The appropriate scale for each band is obtained by searching for the minimum from 32 Hamming distances.The results show that this method achieves an identification rate of 98.15%，and its performance is further improved compared with the one previously proposed.It is promising to be used in a large scale personal identification system.

Key words: iris recognition, wavelet transform, feature extraction, Hamming distance